Senior Manager, Developer Relations - Generative AI Software at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, SoftwareIndustries

Requirements

Minimum of 10+ years of overall professional experience in the technology industry, including at least 5+ years of direct, hands-on technical experience in software development or engineering
MS/BS in Computer Science, Engineering, or a related technical field; or equivalent experience
Proven hands-on involvement throughout the full software development lifecycle - including requirements definition, design, implementation, testing, integration, quality assurance, and post-release support
Experience (as a software engineer or technical product manager) in one or more of the following domains: deep learning and AI systems, foundation models, enterprise-scale ISV software development, full-stack application development, AI/machine learning workflows (including ETL, data pipeline development, synthetic data generation, and data preparation), or graphics and GPU accelerated programming
Significant technical depth in AI models and generative AI software
Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops
Clear communication skills for conveying technical concepts, architecture, and code to audiences ranging from engineers to executives
Proven track record to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external partners (across sales, legal, product or marketing teams as needed)

Responsibilities

Manage a team of developer relations product leads
Engage with partner software organizations - from engineering teams to technical leaders, and decision makers - to understand their goals, identify and resolve technical blockers, advocate for standard methodologies, and drive alignment with NVIDIA technical solutions
Operate as a technical consultant and solution provider with collaborating engineering groups, partnering on architecture, code, and integration for NeMo and AI enabled-solutions
Co-design and implement sophisticated technical solutions with partners – defining objectives, architecture, achievements, and delivery plans. Contribute sample code, architecture diagrams, and direct engineering support to overcome technical challenges
Develop roadmap for technical enablement resources (code samples, reference architectures, integration guides, workshops) to accelerate partner engineering teams’ adoption of our libraries
Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps
Support product launches, technical go-to-market activities by providing technical validation, demonstrating integrated solutions, and ensuring perfection in customer- and partner-facing materials

Skills

Generative AI

NeMo

AI Models

Developer Relations

Team Management

Architecture Design

Code Implementation

Integration

Reference Architectures

Technical Enablement

Roadmap Development

Product Launches

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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